🔭 I’m currently working on Scientific Machine Learning, Data Science, Computational Fluid Dynamics, High Performance Computing, Finite Element Methods , Physics Informed Neural networks and Reduced order modeling.

Computational           : C++ | C | Python | Matlab
ML                      : Tensorflow | keras | sklearn 
FEM Pacakages           : ParMooN | deal-ii (Basics)
Build & Version Control : Git | CMake 
MLOps                   : Github Actions | DVC | Flask | Docker
Meshing                 : Gmsh | Pointwise (Basics)
HPC                     : CUDA | MPI | OpenMP 
Reporting               : LaTeX
Web Development         : HTML5 | CSS3 | Javascript | p5.js

• FastVPINNs - A fast tensor-based variational physics informed Neural networks for complex geometries

• Page Rank Computation using MPI Page Rank computation using MPI on a distributed system
• Collective Communications Implementation Implementation of MPI Collective communications as shown in Thakur. Et al. 2005

• GPU based Asynchronous contact tracing for infectious diseases

• GPU Matrix Multiplication - Implementation of Matrix Multiplication routines between Shared and nonShared GPU memory

• GPU-Cuda Codes A collection of some of my CUDA based codes for NVIDIA GPU's

• Parallel Iterative Solvers for Sparse Matrices Iterative solvers for CSR matrix written using IntelMKL and openmp parallel routines

• Parallel Finite Element Solver for 1D problems - End to End 1D FEM solver with CSR Support and Visualisations
• ParMooN - I have made contribution to the inhouse FEM Package developed at Stars Lab IISc

• 2D Incompressible navier Stokes Solver - For Lid Driven Cavity problem using Pressure projection method
• CFD Codes - Collection of 1D and 2D Codes for Elliptic and Hyperbolic problems in CFD

• A CI/CD based Web deployment of ML Classifier- Includes github actions, DVC, Flask web deployment(Heroku), Cookie Cutter template

• MlOps-Teaching Repo - TA material for pytest,dvc,github actions

• Distributed ML Training on AWS - Distributed ML training on AWS using Spark and Docker

• Human Voice Classification - Voice classification using MFCC Values

• Naive Bayes Classifier - for classification of news genre based on headlines

• Covid prediction based on Symptoms- A very basic ML model for identifying covid result based on Symptoms

• Captcha Image Prediction - Captcha Image prediction using the Image recognition techniques

• Mini ML Projects - Collection of Small ML projects such as Breast Cancer Detection using NN, CreditCard Fraud Detection, KMeans Implementation, NBA Classification, Pain Classification based on Physiological Factors, LinearRegression-AirBNB, ML_MNIST, House Price Prediction

• Sentiment Analysis - sentiment analysis on news dataset
• Token Classification - Token classification on cyber security dataset

• RL for Lawn mover problem - Reinforcement learning for solving a Lawn mover Problem

• nQueens Problem - A Genetic Algorithm based nQueens Solver Live Demo
• Shakesperean Monkey - A demo problem for understanding Genetic Algorithm Live Demo (Credits: Daniel Shiffman-Coding Train)

• FlappyBird - A neuro Evolution trainning and implementation of Flappy bird NE Trainning Demo , Neural networn Input Visualisation

• pdf to h5p Converter - An online tool which converts pdf into the h5p format
• FootBall Links Stream - An online webpage which grabs all live soccer links
• Grading Emailer - A css Flex based automated email report generation tool

• Python Libraries - Collection of Teaching notebooks for Python libraries

• 2048 - 2048 game built using p5js
• Slider puzzle - Slider puzzle built using p5js

• CAF - A landing page for a Application (Design Credits : [email protected])

• ReaderWritter - Reader-Writter Codes in C
• job Scheduler - A simple job scheduler in C

• File Transfer Client using RPC - A simple file transfer client using RPC